This paper describes discriminative language modeling for a large vocabulary speech recognition task. We contrast two parameter estimation methods: the perceptron algorithm, and a...
This paper proposes a novel user intention simulation method which is data-driven but can integrate diverse user discourse knowledge to simulate various types of user behaviors. A...
Sangkeun Jung, Cheongjae Lee, Kyungduk Kim, Donghy...
This paper introduces relaxed abduction, a novel non-standard reasoning task for description logics. Although abductive reasoning over description logic knowledge bases has been ap...
Tailoring solver-independent constraint instances to target solvers is an important component of automated constraint modelling. We augment the tailoring process by a set of enhan...
Andrea Rendl, Ian Miguel, Ian P. Gent, Christopher...
toolkit demonstrates that predicate abstraction enables automated verification of real world Windows device Our predicate abstraction-based tool DDVerify enables the automated ve...
Thomas Witkowski, Nicolas Blanc, Daniel Kroening, ...